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Splitting millions of source code identifiers with Deep Learning By Machine Learning Team / 08 November 2018 ProblemIf you grab our Public Git Archive dataset with almost 180,000 Git repositories, take the latest revision of each and extract all the identifiers from them (e.g. variable, function, class names), you will end up with something close to 60 million unique strings. They include “FooBar”
Calling C functions from BigQuery with web assembly By DevRel team / 10 April 2018 Have you ever used BigQuery? If you have never used it you’re missing out on one of my favorite products of Google Cloud Platform. It has the power to query terabytes of data in seconds while exposing a familiar SQL API. At source{d} we have terabytes of data, so wouldn’t it be cool if we could simply store our data
Analyzing github, how developers change programming languages over time By Machine Learning Team / 12 July 2017 Have you ever been struggling with an nth obscure project, thinking : “I could do the job with this language but why not switch to another one which would be more enjoyable to work with” ? In his awesome blog post : The eigenvector of “Why we moved from language X to language Y”, Erik Be
Kallax: why we built yet another orm for go By DevRel team / 19 April 2016 what is kallaxKallax is a PostgreSQL typesafe1 ORM for the Go language. Its aim is to provide a way of programmatically writing queries and interacting with a PostgreSQL database without having to write a single line of SQL, using strings to refer to columns or using values of wrong types in queries. For that reason, the fi
jonker-volgenant algorithm + t-sne = super powers By DevRel team / 14 March 2017 BEFOREAFTERIntrigued? Then… first things first! t-snet-SNE is the very popular algorithm to extremely reduce the dimensionality of your data in order to visually present it. It is capable of mapping hundreds of dimensions to just 2 while preserving important data relationships, that is, when closer samples in the orig
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